
Toolbox
Provides command-line execution, Figma file access, and file operations through MCP protocol. Extends LLM capabilities to interact with external services and APIs.
Integrates with external APIs and services to provide command execution, Figma file interaction, and file operations, enhancing LLM capabilities for UI/UX design, file management, and service interactions.
What it does
- Execute command line instructions
- Access Figma files and components
- Perform file operations
- Integrate with external APIs
- Query Figma styles and design tokens
Best for
About Toolbox
Toolbox is a community-built MCP server published by ai-zerolab that provides AI assistants with tools and capabilities via the Model Context Protocol. Toolbox integrates APIs and services for LLM command execution, UI/UX design, and risk management API integration platfo It is categorized under developer tools.
How to install
You can install Toolbox in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
Toolbox is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
mcp-toolbox
A comprehensive toolkit for enhancing LLM capabilities through the Model Context Protocol (MCP). This package provides a collection of tools that allow LLMs to interact with external services and APIs, extending their functionality beyond text generation.
- GitHub repository: https://github.com/ai-zerolab/mcp-toolbox/
- (WIP)Documentation: https://ai-zerolab.github.io/mcp-toolbox/
Features
*nix is our main target, but Windows should work too.
- Command Line Execution: Execute any command line instruction through LLM
- Figma Integration: Access Figma files, components, styles, and more
- Extensible Architecture: Easily add new API integrations
- MCP Protocol Support: Compatible with Claude Desktop and other MCP-enabled LLMs
- Comprehensive Testing: Well-tested codebase with high test coverage
Installation
Using uv (Recommended)
We recommend using uv to manage your environment.
# Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh # For macOS/Linux
# or
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" # For Windows
Then you can use uvx "mcp-toolbox@latest" stdio as commands for running the MCP server for latest version. Audio and memory tools are not included in the default installation., you can include them by installing the all extra:
[audio] for audio tools, [memory] for memory tools, [all] for all tools
uvx "mcp-toolbox[all]@latest" stdio
Installing via Smithery
To install Toolbox for LLM Enhancement for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @ai-zerolab/mcp-toolbox --client claude
Using pip
pip install "mcp-toolbox[all]"
And you can use mcp-toolbox stdio as commands for running the MCP server.
Configuration
Environment Variables
The following environment variables can be configured:
FIGMA_API_KEY: API key for Figma integrationTAVILY_API_KEY: API key for Tavily integrationDUCKDUCKGO_API_KEY: API key for DuckDuckGo integrationBFL_API_KEY: API key for Flux image generation API
Memory Storage
Memory tools store data in the following locations:
- macOS:
~/Documents/zerolab/mcp-toolbox/memory(syncs across devices via iCloud) - Other platforms:
~/.zerolab/mcp-toolbox/memory
Full Configuration
To use mcp-toolbox with Claude Desktop/Cline/Cursor/..., add the following to your configuration file:
{
"mcpServers": {
"zerolab-toolbox": {
"command": "uvx",
"args": ["--prerelease=allow", "mcp-toolbox@latest", "stdio"],
"env": {
"FIGMA_API_KEY": "your-figma-api-key",
"TAVILY_API_KEY": "your-tavily-api-key",
"DUCKDUCKGO_API_KEY": "your-duckduckgo-api-key",
"BFL_API_KEY": "your-bfl-api-key"
}
}
}
}
For full features:
{
"mcpServers": {
"zerolab-toolbox": {
"command": "uvx",
"args": [
"--prerelease=allow",
"--python=3.12",
"mcp-toolbox[all]@latest",
"stdio"
],
"env": {
"FIGMA_API_KEY": "your-figma-api-key",
"TAVILY_API_KEY": "your-tavily-api-key",
"DUCKDUCKGO_API_KEY": "your-duckduckgo-api-key",
"BFL_API_KEY": "your-bfl-api-key"
}
}
}
}
You can generate a debug configuration template using:
uv run generate_config_template.py
Available Tools
Command Line Tools
| Tool | Description |
|---|---|
execute_command | Execute a command line instruction |
File Operations Tools
| Tool | Description |
|---|---|
read_file_content | Read content from a file |
write_file_content | Write content to a file |
replace_in_file | Replace content in a file using regular expressions |
list_directory | List directory contents with detailed information |
Figma Tools
| Tool | Description |
|---|---|
figma_get_file | Get a Figma file by key |
figma_get_file_nodes | Get specific nodes from a Figma file |
figma_get_image | Get images for nodes in a Figma file |
figma_get_image_fills | Get URLs for images used in a Figma file |
figma_get_comments | Get comments on a Figma file |
figma_post_comment | Post a comment on a Figma file |
figma_delete_comment | Delete a comment from a Figma file |
figma_get_team_projects | Get projects for a team |
figma_get_project_files | Get files for a project |
figma_get_team_components | Get components for a team |
figma_get_file_components | Get components from a file |
figma_get_component | Get a component by key |
figma_get_team_component_sets | Get component sets for a team |
figma_get_team_styles | Get styles for a team |
figma_get_file_styles | Get styles from a file |
figma_get_style | Get a style by key |
XiaoyuZhouFM Tools
| Tool | Description |
|---|---|
xiaoyuzhoufm_download | Download a podcast episode from XiaoyuZhouFM with optional automatic m4a to mp3 conversion |
Audio Tools
| Tool | Description |
|---|---|
get_audio_length | Get the length of an audio file in seconds |
get_audio_text | Get transcribed text from a specific time range in an audio file |
Memory Tools
| Tool | Description |
|---|---|
think | Use the tool to think about something and append the thought to the log |
get_session_id | Get the current session ID |
remember | Store a memory (brief and detail) in the memory database |
recall | Query memories from the database with semantic search |
forget | Clear all memories in the memory database |
Markitdown Tools
| Tool | Description |
|---|---|
convert_file_to_markdown | Convert any file to Markdown using MarkItDown |
convert_url_to_markdown | Convert a URL to Markdown using MarkItDown |
Web Tools
| Tool | Description |
|---|---|
get_html | Get HTML content from a URL |
save_html | Save HTML from a URL to a file |
search_with_tavily | Search the web using Tavily (requires API key) |
search_with_duckduckgo | Search the web using DuckDuckGo (requires API key) |
Flux Image Generation Tools
| Tool | Description |
|---|---|
flux_generate_image | Generate an image using the Flux API and save it to a file |
Usage Examples
Running the MCP Server
# Run with stdio transport (default)
mcp-toolbox stdio
# Run with SSE transport
mcp-toolbox sse --host localhost --port 9871
Using with Claude Desktop
- Configure Claude Desktop as shown in the Configuration section
- Start Claude Desktop
- Ask Claude to interact with Figma files:
- "Can you get information about this Figma file: 12345abcde?"
- "Show me the components in this Figma file: 12345abcde"
- "Get the comments from this Figma file: 12345abcde"
- Ask Claude to execute command line instructions:
- "What files are in the current directory?"
- "What's the current system time?"
- "Show me the contents of a specific file."
- Ask Claude to download podcasts from XiaoyuZhouFM:
- "Download this podcast episode: https://www.xiaoyuzhoufm.com/episode/67c3d80fb0167b8db9e3ec0f"
- "Download and convert to MP3 this
README truncated. View full README on GitHub.
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